115 search results - page 6 / 23 » Learning hierarchical task networks by observation |
IJCAI
2001
13 years 8 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
This paper investigates how to parse (segment) facial components from face images which may be partially occluded. We propose a novel face parser, which recasts segmentation of fa...
IEEEICCI
2002
IEEE
14 years 12 days ago
2002
IEEE
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...